----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
      name:  <unnamed>
       log:  D:\Vicard\VV\re\inprogress\BRV\results\Table4.log
  log type:  text
 opened on:  29 Sep 2017, 17:26:56

. 
. 
. ***************
. * A - TABLE 4 *
. ***************
. 
. use $Output\dataset_brv_fe, clear

. global condition  "entry_ele!=1994 & entry_ele!=1995"

. 
. sort ijk year

. gen size_l1     = value_l1/value_tot_l1
(3,328,694 missing values generated)

. 
. *use version of shock computed with jkt in prices 
. gen diff_jkt_ele1                   = diff_jkt*age_ele1
(3,354,512 missing values generated)

. gen diff_jkt_size_l1            = diff_jkt*size_l1
(3,354,512 missing values generated)

. gen size_l1_ele1                        = age_ele1*size_l1
(3,328,694 missing values generated)

. 
. forvalues x = 1(1)10{
  2.         g diff_jkt_ele1_`x'             = diff_jkt * ele1_`x' 
  3. }
(3,354,512 missing values generated)
(3,354,512 missing values generated)
(3,354,512 missing values generated)
(3,354,512 missing values generated)
(3,354,512 missing values generated)
(3,354,512 missing values generated)
(3,354,512 missing values generated)
(3,354,512 missing values generated)
(3,354,512 missing values generated)
(3,354,512 missing values generated)

. *
. foreach var in diff_jkt{
  2.         /*jkt in prices only*/
.         eststo: reg dprior `var' age_ele1 `var'_ele1                                            if $condition, r cluster(i)
  3.         eststo: reg dprior `var'_ele1_* ele1_*                                                          if $condition     , r cluster(i)
  4.         /*jkt in prices and size linear: size_l1, control for size interacted with age*/
.         eststo: reg dprior `var' size_l1 age_ele1 `var'_ele1 size_l1_ele1       if $condition, r cluster(i)
  5.         eststo: reg dprior `var'_ele1_* ele1_* size_l1       size_l1_ele1       if $condition, r cluster(i)
  6. *
.                 foreach size in size_l1{
  7.                 * 10 bins *
.                 egen jkt_hs4 = group(country hs4 year)
  8.                 bys jkt_hs4: egen num_hs4 = count(`size')       
  9.                 forvalues x = 10(10)90{
 10.                 bys jkt_hs4: egen p_`x'_size_l1 = pctile(`size') if num_hs4>9, p(`x')
 11.                 }
 12.                 gen sizecat      = 1  if `size'< p_10_size_l1 & `size' !=. & p_10_size_l1!=.
 13.                 replace sizecat  = 2  if `size'>=p_10_size_l1 & `size'<p_20_size_l1 & size_l1 !=. 
 14.                 replace sizecat  = 3  if `size'>=p_20_size_l1 & `size'<p_30_size_l1 & size_l1 !=.
 15.                 replace sizecat  = 4  if `size'>=p_30_size_l1 & `size'<p_40_size_l1 & size_l1 !=.
 16.                 replace sizecat  = 5  if `size'>=p_40_size_l1 & `size'<p_50_size_l1 & size_l1 !=.
 17.                 replace sizecat  = 6  if `size'>=p_50_size_l1 & `size'<p_60_size_l1 & size_l1 !=.
 18.                 replace sizecat  = 7  if `size'>=p_60_size_l1 & `size'<p_70_size_l1 & size_l1 !=.
 19.                 replace sizecat  = 8  if `size'>=p_70_size_l1 & `size'<p_80_size_l1 & size_l1 !=.
 20.                 replace sizecat  = 9  if `size'>=p_80_size_l1 & `size'<p_90_size_l1 & size_l1 !=.
 21.                 replace sizecat  = 10 if `size'>=p_90_size_l1 & `size' !=. & p_90_size_l1!=.
 22. 
.                 tab sizecat, gen(sizecat_d)
 23.                 forvalues x = 1(1)10{
 24.                 qui gen inter`x' = age_ele1 *  sizecat_d`x'
 25.                 }
 26.                 drop sizecat_d10 inter10
 27.         }
 28.         /*size non linear*/
.         reg dprior `var' age_ele1 `var'_ele1                                                    if $condition & sizecat!=., r cluster(i)
 29.         eststo: reg dprior `var' sizecat_d* age_ele1 `var'_ele1 inter*      if $condition, r cluster(i)
 30.         eststo: reg dprior `var'_ele1_* ele1_* sizecat_d* inter*                        if $condition, r cluster(i)
 31.         
.         label var size_l1                       "Size$ _{ijk,t-1/t}$"
 32.         label var `var'_size_l1         "\hspace{1cm} $\times$ Size$ _{ijk,t-1/t}$"
 33.         label var  age_ele1                     "Age$ _{ijkt}$" 
 34.         label var diff_jkt_ele1         "\hspace{1cm} $\times$ Age$ _{ijkt}$"
 35.         label var diff_jkt_ele1_1       "\hspace{1cm} $\times$ Age$ _{ijkt}=1$" 
 36.         label var diff_jkt_ele1_2       "\hspace{1cm} $\times$ Age$ _{ijkt}=2$" 
 37.         label var diff_jkt_ele1_3       "\hspace{1cm} $\times$ Age$ _{ijkt}=3$" 
 38.         label var diff_jkt_ele1_4       "\hspace{1cm} $\times$ Age$ _{ijkt}=4$"
 39.         label var diff_jkt_ele1_5       "\hspace{1cm} $\times$ Age$ _{ijkt}=5$" 
 40.         label var diff_jkt_ele1_6       "\hspace{1cm} $\times$ Age$ _{ijkt}=6$"
 41.         label var diff_jkt_ele1_7       "\hspace{1cm} $\times$ Age$ _{ijkt}=7$"
 42.         label var diff_jkt_ele1_8       "\hspace{1cm} $\times$ Age$ _{ijkt}=8$" 
 43.         label var diff_jkt_ele1_9       "\hspace{1cm} $\times$ Age$ _{ijkt}=9$" 
 44.         label var diff_jkt_ele1_10      "\hspace{1cm} $\times$ Age$ _{ijkt}=10$" 
 45.         
.         drop p_* num_hs4 jkt_hs4 sizecat* inter* 
 46.         set linesize 250
 47.         esttab, mtitles drop(_cons sizecat_d* inter* ele1_*) b(%5.3f) se(%5.3f) compress r2 starlevels(c 0.1 b 0.05 a 0.01)  se 
 48.         esttab, mtitles drop(_cons sizecat_d* inter* ele1_*) b(%5.3f) se(%5.3f) r2  starlevels({$^c$} 0.1 {$^b$} 0.05 {$^a$} 0.01) se tex label  title() 
 49.         eststo clear
 50.         *
. }

Linear regression                               Number of obs     =  1,870,377
                                                F(3, 45708)       =    2228.94
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0520
                                                Root MSE          =     1.1659

                                  (Std. Err. adjusted for 45,709 clusters in i)
-------------------------------------------------------------------------------
              |               Robust
       dprior |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
     diff_jkt |   .1032345    .001995    51.75   0.000     .0993242    .1071447
     age_ele1 |  -.0338266   .0006872   -49.22   0.000    -.0351735   -.0324796
diff_jkt_ele1 |  -.0034175   .0004354    -7.85   0.000    -.0042708   -.0025642
        _cons |   .1522288    .002517    60.48   0.000     .1472955    .1571621
-------------------------------------------------------------------------------
(est1 stored)
note: diff_jkt_ele1_1 omitted because of collinearity
note: ele1_1 omitted because of collinearity
note: ele1_9 omitted because of collinearity

Linear regression                               Number of obs     =  1,870,377
                                                F(17, 45708)      =     548.43
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0537
                                                Root MSE          =     1.1649

                                     (Std. Err. adjusted for 45,709 clusters in i)
----------------------------------------------------------------------------------
                 |               Robust
          dprior |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
 diff_jkt_ele1_1 |          0  (omitted)
 diff_jkt_ele1_2 |   .0964069   .0016958    56.85   0.000      .093083    .0997308
 diff_jkt_ele1_3 |   .0934047   .0015984    58.44   0.000     .0902718    .0965376
 diff_jkt_ele1_4 |   .0873482    .002019    43.26   0.000      .083391    .0913054
 diff_jkt_ele1_5 |   .0862997   .0025241    34.19   0.000     .0813524    .0912471
 diff_jkt_ele1_6 |    .082287   .0025126    32.75   0.000     .0773623    .0872117
 diff_jkt_ele1_7 |   .0792587   .0028462    27.85   0.000     .0736801    .0848373
 diff_jkt_ele1_8 |    .076446   .0039545    19.33   0.000     .0686951     .084197
 diff_jkt_ele1_9 |   .0765583   .0052195    14.67   0.000      .066328    .0867886
diff_jkt_ele1_10 |   .0735697   .0093864     7.84   0.000     .0551722    .0919671
          ele1_1 |          0  (omitted)
          ele1_2 |   .1670465   .0094691    17.64   0.000      .148487    .1856061
          ele1_3 |   .0299354   .0093868     3.19   0.001     .0115372    .0483337
          ele1_4 |   .0061173   .0092671     0.66   0.509    -.0120464     .024281
          ele1_5 |  -.0069955   .0096157    -0.73   0.467    -.0258424    .0118515
          ele1_6 |   -.009449   .0095616    -0.99   0.323      -.02819    .0092919
          ele1_7 |  -.0065468   .0096555    -0.68   0.498    -.0254718    .0123782
          ele1_8 |  -.0109475    .010352    -1.06   0.290    -.0312377    .0093426
          ele1_9 |          0  (omitted)
         ele1_10 |  -.0230642   .0144416    -1.60   0.110    -.0513699    .0052415
           _cons |  -.0392744   .0092248    -4.26   0.000    -.0573552   -.0211936
----------------------------------------------------------------------------------
(est2 stored)

Linear regression                               Number of obs     =  1,870,377
                                                F(5, 45708)       =    1914.68
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0635
                                                Root MSE          =     1.1588

                                  (Std. Err. adjusted for 45,709 clusters in i)
-------------------------------------------------------------------------------
              |               Robust
       dprior |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
     diff_jkt |   .1028604   .0019755    52.07   0.000     .0989884    .1067325
      size_l1 |  -1.053323   .0160138   -65.78   0.000     -1.08471   -1.021935
     age_ele1 |  -.0401215   .0007583   -52.91   0.000    -.0416079   -.0386352
diff_jkt_ele1 |  -.0034068   .0004328    -7.87   0.000     -.004255   -.0025586
 size_l1_ele1 |   .1085856   .0026029    41.72   0.000     .1034838    .1136874
        _cons |   .2363858    .002995    78.93   0.000     .2305156    .2422561
-------------------------------------------------------------------------------
(est3 stored)
note: diff_jkt_ele1_1 omitted because of collinearity
note: ele1_1 omitted because of collinearity
note: ele1_9 omitted because of collinearity

Linear regression                               Number of obs     =  1,870,377
                                                F(19, 45708)      =     662.01
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0648
                                                Root MSE          =      1.158

                                     (Std. Err. adjusted for 45,709 clusters in i)
----------------------------------------------------------------------------------
                 |               Robust
          dprior |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
 diff_jkt_ele1_1 |          0  (omitted)
 diff_jkt_ele1_2 |   .0961605   .0016813    57.19   0.000     .0928651    .0994559
 diff_jkt_ele1_3 |   .0929706   .0015847    58.67   0.000     .0898646    .0960766
 diff_jkt_ele1_4 |   .0869184   .0019992    43.48   0.000     .0829999    .0908368
 diff_jkt_ele1_5 |   .0859413   .0025051    34.31   0.000     .0810313    .0908513
 diff_jkt_ele1_6 |   .0820392   .0024935    32.90   0.000     .0771518    .0869265
 diff_jkt_ele1_7 |   .0789926   .0028313    27.90   0.000     .0734433    .0845419
 diff_jkt_ele1_8 |   .0760975   .0039418    19.31   0.000     .0683716    .0838234
 diff_jkt_ele1_9 |   .0763255   .0052183    14.63   0.000     .0660975    .0865535
diff_jkt_ele1_10 |   .0735517    .009385     7.84   0.000      .055157    .0919464
          ele1_1 |          0  (omitted)
          ele1_2 |   .2170603   .0099488    21.82   0.000     .1975604    .2365602
          ele1_3 |   .0877578   .0098496     8.91   0.000     .0684524    .1070632
          ele1_4 |   .0592175   .0096483     6.14   0.000     .0403066    .0781284
          ele1_5 |   .0377198   .0098953     3.81   0.000     .0183249    .0571146
          ele1_6 |   .0250534   .0097446     2.57   0.010     .0059538     .044153
          ele1_7 |   .0171617    .009767     1.76   0.079    -.0019819    .0363052
          ele1_8 |   .0012943   .0103975     0.12   0.901     -.019085    .0216736
          ele1_9 |          0  (omitted)
         ele1_10 |  -.0354794   .0143912    -2.47   0.014    -.0636863   -.0072724
         size_l1 |   -1.01468    .016573   -61.22   0.000    -1.047163   -.9821966
    size_l1_ele1 |   .1006162   .0025888    38.87   0.000      .095542    .1056904
           _cons |  -.0257354   .0096513    -2.67   0.008    -.0446522   -.0068187
----------------------------------------------------------------------------------
(est4 stored)
(3328725 missing values generated)
(678498 missing values generated)
(678498 missing values generated)
(678498 missing values generated)
(678498 missing values generated)
(678498 missing values generated)
(678498 missing values generated)
(678498 missing values generated)
(678498 missing values generated)
(678498 missing values generated)
(6,798,529 missing values generated)
(308,158 real changes made)
(302,179 real changes made)
(310,397 real changes made)
(318,004 real changes made)
(295,670 real changes made)
(303,274 real changes made)
(309,274 real changes made)
(301,049 real changes made)
(343,332 real changes made)

    sizecat |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |    276,848        9.02        9.02
          2 |    308,158       10.04       19.07
          3 |    302,179        9.85       28.92
          4 |    310,397       10.12       39.03
          5 |    318,004       10.36       49.40
          6 |    295,670        9.64       59.03
          7 |    303,274        9.88       68.92
          8 |    309,274       10.08       79.00
          9 |    301,049        9.81       88.81
         10 |    343,332       11.19      100.00
------------+-----------------------------------
      Total |  3,068,185      100.00

Linear regression                               Number of obs     =  1,501,840
                                                F(3, 43245)       =    1914.30
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0510
                                                Root MSE          =     1.1574

                                  (Std. Err. adjusted for 43,246 clusters in i)
-------------------------------------------------------------------------------
              |               Robust
       dprior |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
     diff_jkt |   .1008809    .002127    47.43   0.000     .0967119    .1050498
     age_ele1 |  -.0349915    .000769   -45.50   0.000    -.0364987   -.0334843
diff_jkt_ele1 |  -.0033358   .0004271    -7.81   0.000    -.0041729   -.0024987
        _cons |   .1579823   .0028165    56.09   0.000      .152462    .1635027
-------------------------------------------------------------------------------

Linear regression                               Number of obs     =  1,501,840
                                                F(21, 43245)      =     714.59
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0951
                                                Root MSE          =     1.1302

                                  (Std. Err. adjusted for 43,246 clusters in i)
-------------------------------------------------------------------------------
              |               Robust
       dprior |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
     diff_jkt |   .1024897   .0020696    49.52   0.000     .0984333    .1065462
   sizecat_d1 |   .9589807   .0130454    73.51   0.000     .9334116    .9845499
   sizecat_d2 |   .7202254   .0124401    57.90   0.000     .6958425    .7446083
   sizecat_d3 |   .5648021    .012355    45.71   0.000     .5405862    .5890181
   sizecat_d4 |   .4564345   .0121962    37.42   0.000     .4325297    .4803393
   sizecat_d5 |    .358367   .0117223    30.57   0.000      .335391     .381343
   sizecat_d6 |   .2730028   .0119941    22.76   0.000     .2494942    .2965114
   sizecat_d7 |   .2151849   .0118551    18.15   0.000     .1919487    .2384212
   sizecat_d8 |   .1634378   .0110271    14.82   0.000     .1418245    .1850511
   sizecat_d9 |   .0849623   .0110149     7.71   0.000     .0633729    .1065517
     age_ele1 |   .0191469   .0017275    11.08   0.000     .0157609    .0225328
diff_jkt_ele1 |   -.003364   .0004185    -8.04   0.000    -.0041842   -.0025437
       inter1 |  -.0331827   .0028005   -11.85   0.000    -.0386717   -.0276937
       inter2 |   -.042253   .0025136   -16.81   0.000    -.0471796   -.0373264
       inter3 |  -.0405853   .0024241   -16.74   0.000    -.0453366   -.0358341
       inter4 |  -.0373025   .0023049   -16.18   0.000    -.0418202   -.0327849
       inter5 |  -.0310581   .0022943   -13.54   0.000    -.0355549   -.0265613
       inter6 |  -.0247261   .0023239   -10.64   0.000    -.0292811   -.0201711
       inter7 |  -.0217841   .0023256    -9.37   0.000    -.0263424   -.0172259
       inter8 |  -.0185696    .002215    -8.38   0.000    -.0229111   -.0142282
       inter9 |   -.009657   .0022019    -4.39   0.000    -.0139728   -.0053411
        _cons |  -.3619558   .0102991   -35.14   0.000    -.3821423   -.3417693
-------------------------------------------------------------------------------
(est5 stored)
note: diff_jkt_ele1_1 omitted because of collinearity
note: ele1_1 omitted because of collinearity
note: ele1_9 omitted because of collinearity

Linear regression                               Number of obs     =  1,501,840
                                                F(35, 43245)      =     513.82
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0956
                                                Root MSE          =     1.1299

                                     (Std. Err. adjusted for 43,246 clusters in i)
----------------------------------------------------------------------------------
                 |               Robust
          dprior |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
 diff_jkt_ele1_1 |          0  (omitted)
 diff_jkt_ele1_2 |   .0958669   .0017789    53.89   0.000     .0923802    .0993536
 diff_jkt_ele1_3 |   .0929072   .0016849    55.14   0.000     .0896049    .0962096
 diff_jkt_ele1_4 |   .0865485   .0020536    42.15   0.000     .0825235    .0905735
 diff_jkt_ele1_5 |     .08665   .0024817    34.92   0.000     .0817858    .0915142
 diff_jkt_ele1_6 |   .0812737   .0026412    30.77   0.000     .0760969    .0864505
 diff_jkt_ele1_7 |   .0779947    .002856    27.31   0.000     .0723969    .0835925
 diff_jkt_ele1_8 |   .0756361   .0040542    18.66   0.000     .0676897    .0835824
 diff_jkt_ele1_9 |   .0771306   .0053672    14.37   0.000     .0666107    .0876505
diff_jkt_ele1_10 |   .0747641   .0091845     8.14   0.000     .0567622     .092766
          ele1_1 |          0  (omitted)
          ele1_2 |  -.1356024   .0140546    -9.65   0.000    -.1631497    -.108055
          ele1_3 |  -.1811403   .0128609   -14.08   0.000    -.2063479   -.1559326
          ele1_4 |  -.1529211   .0117979   -12.96   0.000    -.1760452    -.129797
          ele1_5 |  -.1269398   .0112846   -11.25   0.000    -.1490578   -.1048217
          ele1_6 |  -.0965654   .0107473    -8.99   0.000    -.1176303   -.0755004
          ele1_7 |  -.0632588   .0104047    -6.08   0.000    -.0836522   -.0428655
          ele1_8 |    -.03834   .0109918    -3.49   0.000    -.0598841    -.016796
          ele1_9 |          0  (omitted)
         ele1_10 |   .0096274   .0152875     0.63   0.529    -.0203365    .0395913
      sizecat_d1 |   .9186185   .0135774    67.66   0.000     .8920065    .9452304
      sizecat_d2 |   .6883269   .0127476    54.00   0.000     .6633414    .7133123
      sizecat_d3 |    .538492    .012603    42.73   0.000     .5137898    .5631942
      sizecat_d4 |   .4347326     .01237    35.14   0.000     .4104871    .4589781
      sizecat_d5 |   .3402823   .0117847    28.87   0.000      .317184    .3633806
      sizecat_d6 |    .258655   .0120654    21.44   0.000     .2350067    .2823034
      sizecat_d7 |    .204268   .0119208    17.14   0.000     .1809029     .227633
      sizecat_d8 |   .1555437   .0110423    14.09   0.000     .1339006    .1771868
      sizecat_d9 |   .0804651   .0110232     7.30   0.000     .0588594    .1020708
          inter1 |  -.0237555   .0028544    -8.32   0.000    -.0293501   -.0181609
          inter2 |   -.035139   .0025233   -13.93   0.000    -.0400846   -.0301933
          inter3 |  -.0348693   .0024485   -14.24   0.000    -.0396684   -.0300702
          inter4 |  -.0326974   .0023191   -14.10   0.000    -.0372429   -.0281518
          inter5 |  -.0272943   .0022811   -11.97   0.000    -.0317653   -.0228233
          inter6 |  -.0217921   .0023252    -9.37   0.000    -.0263496   -.0172346
          inter7 |  -.0195841   .0023279    -8.41   0.000    -.0241468   -.0150213
          inter8 |   -.017012   .0022103    -7.70   0.000    -.0213443   -.0126797
          inter9 |  -.0087871   .0022002    -3.99   0.000    -.0130995   -.0044748
           _cons |  -.1519449   .0118063   -12.87   0.000    -.1750855   -.1288042
----------------------------------------------------------------------------------
(est6 stored)

----------------------------------------------------------------------------
                 (1)        (2)        (3)        (4)        (5)        (6) 
                est1       est2       est3       est4       est5       est6 
----------------------------------------------------------------------------
diff_jkt       0.103a                0.103a                0.102a           
             (0.002)               (0.002)               (0.002)            

age_ele1      -0.034a               -0.040a                0.019a           
             (0.001)               (0.001)               (0.002)            

diff_jk~e1    -0.003a               -0.003a               -0.003a           
             (0.000)               (0.000)               (0.000)            

diff_jk~_1                0.000                 0.000                 0.000 
                            (.)                   (.)                   (.) 

diff_jkt~2                0.096a                0.096a                0.096a
                        (0.002)               (0.002)               (0.002) 

diff_jkt~3                0.093a                0.093a                0.093a
                        (0.002)               (0.002)               (0.002) 

diff_jkt~4                0.087a                0.087a                0.087a
                        (0.002)               (0.002)               (0.002) 

diff_jkt~5                0.086a                0.086a                0.087a
                        (0.003)               (0.003)               (0.002) 

diff_jkt~6                0.082a                0.082a                0.081a
                        (0.003)               (0.002)               (0.003) 

diff_jkt~7                0.079a                0.079a                0.078a
                        (0.003)               (0.003)               (0.003) 

diff_jkt~8                0.076a                0.076a                0.076a
                        (0.004)               (0.004)               (0.004) 

diff_jkt~9                0.077a                0.076a                0.077a
                        (0.005)               (0.005)               (0.005) 

diff_jk~10                0.074a                0.074a                0.075a
                        (0.009)               (0.009)               (0.009) 

size_l1                             -1.053a    -1.015a                      
                                   (0.016)    (0.017)                       

size_l1_~1                           0.109a     0.101a                      
                                   (0.003)    (0.003)                       
----------------------------------------------------------------------------
N            1870377    1870377    1870377    1870377    1501840    1501840 
R-sq           0.052      0.054      0.064      0.065      0.095      0.096 
----------------------------------------------------------------------------
Standard errors in parentheses
c p<0.1, b p<0.05, a p<0.01

{
\def\sym#1{\ifmmode^{#1}\else\(^{#1}\)\fi}
\begin{tabular}{l*{6}{c}}
\hline\hline
                    &\multicolumn{1}{c}{(1)}&\multicolumn{1}{c}{(2)}&\multicolumn{1}{c}{(3)}&\multicolumn{1}{c}{(4)}&\multicolumn{1}{c}{(5)}&\multicolumn{1}{c}{(6)}\\
                    &\multicolumn{1}{c}{est1}&\multicolumn{1}{c}{est2}&\multicolumn{1}{c}{est3}&\multicolumn{1}{c}{est4}&\multicolumn{1}{c}{est5}&\multicolumn{1}{c}{est6}\\
\hline
$\widehat{a}\_{ijkt}-\varepsilon^q\_{ijk,t-1}$ (for size controls)&       0.103{$^a$}&                  &       0.103{$^a$}&                  &       0.102{$^a$}&                  \\
                    &     (0.002)      &                  &     (0.002)      &                  &     (0.002)      &                  \\
[1em]
Age$ \_{ijkt}$       &      -0.034{$^a$}&                  &      -0.040{$^a$}&                  &       0.019{$^a$}&                  \\
                    &     (0.001)      &                  &     (0.001)      &                  &     (0.002)      &                  \\
[1em]
\hspace{1cm} $\times$ Age$ \_{ijkt}$&      -0.003{$^a$}&                  &      -0.003{$^a$}&                  &      -0.003{$^a$}&                  \\
                    &     (0.000)      &                  &     (0.000)      &                  &     (0.000)      &                  \\
[1em]
\hspace{1cm} $\times$ Age$ \_{ijkt}=1$&                  &       0.000      &                  &       0.000      &                  &       0.000      \\
                    &                  &         (.)      &                  &         (.)      &                  &         (.)      \\
[1em]
\hspace{1cm} $\times$ Age$ \_{ijkt}=2$&                  &       0.096{$^a$}&                  &       0.096{$^a$}&                  &       0.096{$^a$}\\
                    &                  &     (0.002)      &                  &     (0.002)      &                  &     (0.002)      \\
[1em]
\hspace{1cm} $\times$ Age$ \_{ijkt}=3$&                  &       0.093{$^a$}&                  &       0.093{$^a$}&                  &       0.093{$^a$}\\
                    &                  &     (0.002)      &                  &     (0.002)      &                  &     (0.002)      \\
[1em]
\hspace{1cm} $\times$ Age$ \_{ijkt}=4$&                  &       0.087{$^a$}&                  &       0.087{$^a$}&                  &       0.087{$^a$}\\
                    &                  &     (0.002)      &                  &     (0.002)      &                  &     (0.002)      \\
[1em]
\hspace{1cm} $\times$ Age$ \_{ijkt}=5$&                  &       0.086{$^a$}&                  &       0.086{$^a$}&                  &       0.087{$^a$}\\
                    &                  &     (0.003)      &                  &     (0.003)      &                  &     (0.002)      \\
[1em]
\hspace{1cm} $\times$ Age$ \_{ijkt}=6$&                  &       0.082{$^a$}&                  &       0.082{$^a$}&                  &       0.081{$^a$}\\
                    &                  &     (0.003)      &                  &     (0.002)      &                  &     (0.003)      \\
[1em]
\hspace{1cm} $\times$ Age$ \_{ijkt}=7$&                  &       0.079{$^a$}&                  &       0.079{$^a$}&                  &       0.078{$^a$}\\
                    &                  &     (0.003)      &                  &     (0.003)      &                  &     (0.003)      \\
[1em]
\hspace{1cm} $\times$ Age$ \_{ijkt}=8$&                  &       0.076{$^a$}&                  &       0.076{$^a$}&                  &       0.076{$^a$}\\
                    &                  &     (0.004)      &                  &     (0.004)      &                  &     (0.004)      \\
[1em]
\hspace{1cm} $\times$ Age$ \_{ijkt}=9$&                  &       0.077{$^a$}&                  &       0.076{$^a$}&                  &       0.077{$^a$}\\
                    &                  &     (0.005)      &                  &     (0.005)      &                  &     (0.005)      \\
[1em]
\hspace{1cm} $\times$ Age$ \_{ijkt}=10$&                  &       0.074{$^a$}&                  &       0.074{$^a$}&                  &       0.075{$^a$}\\
                    &                  &     (0.009)      &                  &     (0.009)      &                  &     (0.009)      \\
[1em]
Size$ \_{ijk,t-1/t}$ &                  &                  &      -1.053{$^a$}&      -1.015{$^a$}&                  &                  \\
                    &                  &                  &     (0.016)      &     (0.017)      &                  &                  \\
[1em]
size\_l1\_ele1        &                  &                  &       0.109{$^a$}&       0.101{$^a$}&                  &                  \\
                    &                  &                  &     (0.003)      &     (0.003)      &                  &                  \\
\hline
Observations        &     1870377      &     1870377      &     1870377      &     1870377      &     1501840      &     1501840      \\
\(R^{2}\)           &       0.052      &       0.054      &       0.064      &       0.065      &       0.095      &       0.096      \\
\hline\hline
\multicolumn{7}{l}{\footnotesize Standard errors in parentheses}\\
\multicolumn{7}{l}{\footnotesize {$^c$} p<0.1, {$^b$} p<0.05, {$^a$} p<0.01}\\
\end{tabular}
}

. 
. 
. log close
      name:  <unnamed>
       log:  D:\Vicard\VV\re\inprogress\BRV\results\Table4.log
  log type:  text
 closed on:  29 Sep 2017, 17:32:20
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